Dynamical systems modeling of Continuous Flash Suppression

Daisuke Shimaoka, Kunihiko Kaneko

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Abstract

Continuous Flash Suppression (CFS) is a technique in which a stationary image in one eye can be reliably suppressed by rapid presentation of different flashing images in the other. In this paper we address why flashing stimuli modulate the visibility of the stimuli. We determine, in particular, which type of neural network is sufficient for the modulation of the dominance duration, assuming that elemental units are endowed with reciprocal inhibition and adaptation. We show that the model introduced by Wilson (2007) reproduces flash suppression, which is considered to be involved in CFS, but does not reproduce CFS. We then extend the model by including a stimulus feature dimension. With this extension, we found that the model accounts for the modulation of visibility observed in CFS. In addition, this model captured some defining characteristics of CFS such as dependence on flash interval and the depth of suppression. Our findings suggest that a network with inhibition and adaptation including feature dimension provides a crucial mechanism for the modulation of the dominance duration in CFS.

Original languageEnglish
Pages (from-to)521-528
Number of pages8
JournalVision Research
Volume51
Issue number6
DOIs
Publication statusPublished - 25 Mar 2011
Externally publishedYes

Keywords

  • Adaptation
  • Binocular rivalry
  • Neural modeling

Cite this